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KMID : 1143420220150502935
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Public Health Weekly Report
2022 Volume.15 No. 50 p.2935 ~ p.2953
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Analysis of Antibiotic-resistant Gene Characteristics of Drug-resistant Mycobacterium tuberculosis from the Republic of Korea (2020?2021)
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Kim Young-Mi
Lee Min-Ji
Kim Dong-Hyeok
Kim Jun-Young
Yoo Jae-Il
Lee Jeong-Seob
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Abstract
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Drug-resistant tuberculosis (DR-TB) is one of the major public health challenges owing to its long treatment period and low treatment success rate. For a rapid and accurate diagnosis of drug resistance, many countries are using recently introduced whole genome sequencing (WGS). In this study, a total of 196 DR-TB strains were collected through a contact investigation in a congregate setting between 2020 and 2021, and WGS was conducted. In all, 188 DR-TB strains were identified as rifampinresistant TB. Mutations in only the rpoB gene were found to be associated with rifampin resistance and mutations in 187 strains were identified in the region determining rifampin resistance, except for in the case of one strain. The most prevalent mutation was rpoB_S450L (100/188, 53.2%). Gene mutations related to isoniazid resistance were identified in 143 strains, and the most prevalent mutations were katG_S315T (107 isolates, 74.8%) and inhA_c-777t (30 strains, 21.0%). Among 36 quinolone-resistant strains, 31 had mutations in the gyrA and gyrB gene regions that determine quinolone resistance. Mutations in codon 94 of gyrA (16/36, 44.4%) were the most frequent. The sensitivity of WGS compared with that of the phenotypic drug susceptibility test for rifampin and isoniazid was 96.6% and 95.9%, respectively. In addition, in silico spoligotyping revealed that 91.5% of the rifampin-resistant strains belonged to the Beijing clade. In conclusion, we found that WGS has excellent potential for application in drug resistance prediction and provides valuable information including strain typing. In the future, it would be necessary to use WGS to analyze the molecular characteristics and distribution status of drug-resistant strains.
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KEYWORD
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Tuberculosis, Drug-resistant, Whole genome sequencing, Genetic profile
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